Testing of self-similarity and helical symmetry in vortex generator flow simulations

Vortex generators (VGs) are used increasingly by the wind turbine industry as flow control devices to improve rotor blade performance. According to experimental observations, the vortices generated by VGs have previously been observed to be self-similar for both the axial (uz) and azimuthal (u ) vel...

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Autores: Fernández Gámiz, Unai, Velte, Clara Marika, Réthoré, Pierre-Elouan, Sørensen, Niels N., Egusquiza Estévez, Eduard
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/64988
Acceso en línea:http://hdl.handle.net/10810/64988
Access Level:acceso abierto
Palabra clave:vortex generator
wake
CFD
computational fluid dynamics
aerodynamics
wind turbine
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spelling Testing of self-similarity and helical symmetry in vortex generator flow simulationsFernández Gámiz, UnaiVelte, Clara MarikaRéthoré, Pierre-ElouanSørensen, Niels N.Egusquiza Estévez, Eduardvortex generatorwakeCFDcomputational fluid dynamicsaerodynamicswind turbineVortex generators (VGs) are used increasingly by the wind turbine industry as flow control devices to improve rotor blade performance. According to experimental observations, the vortices generated by VGs have previously been observed to be self-similar for both the axial (uz) and azimuthal (u ) velocity components. Furthermore, the measured vortices have been observed to obey the criteria for helical symmetry. These are powerful results, as it reduces the highly complex 3-D flow to merely four parameters and therefore significantly facilitates the modeling of this type of flow, which in a larger perspective can assist in parametric studies to increase the total power output of wind turbines. In this study, corresponding computer simulations using Reynolds-averaged Navier–Stokes equations have been carried out and compared with the experimental observations. The main objective is to investigate how well the simulations can reproduce these aspects of the physics of the flow, i.e., investigate if the same analytical model can be applied and therefore significantly facilitate the modeling of this type of flow, which in a larger perspective can assist in parametric studies to increase the total power output of wind turbines. This is especially interesting since these types of flows are notoriously difficult for the turbulence models to predict correctly. Using this model, parametric studies can be significantly reduced, and moreover, reliable simulations can substantially reduce the costs of the parametric studies themselves.Wiley202420242016info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/64988reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoIngléshttps://onlinelibrary.wiley.com/doi/full/10.1002/we.1882info:eu-repo/semantics/openAccessCopyright © 2015 John Wiley & Sons, Ltd.oai:addi.ehu.eus:10810/649882026-06-18T09:23:17Z
dc.title.none.fl_str_mv Testing of self-similarity and helical symmetry in vortex generator flow simulations
title Testing of self-similarity and helical symmetry in vortex generator flow simulations
spellingShingle Testing of self-similarity and helical symmetry in vortex generator flow simulations
Fernández Gámiz, Unai
vortex generator
wake
CFD
computational fluid dynamics
aerodynamics
wind turbine
title_short Testing of self-similarity and helical symmetry in vortex generator flow simulations
title_full Testing of self-similarity and helical symmetry in vortex generator flow simulations
title_fullStr Testing of self-similarity and helical symmetry in vortex generator flow simulations
title_full_unstemmed Testing of self-similarity and helical symmetry in vortex generator flow simulations
title_sort Testing of self-similarity and helical symmetry in vortex generator flow simulations
dc.creator.none.fl_str_mv Fernández Gámiz, Unai
Velte, Clara Marika
Réthoré, Pierre-Elouan
Sørensen, Niels N.
Egusquiza Estévez, Eduard
author Fernández Gámiz, Unai
author_facet Fernández Gámiz, Unai
Velte, Clara Marika
Réthoré, Pierre-Elouan
Sørensen, Niels N.
Egusquiza Estévez, Eduard
author_role author
author2 Velte, Clara Marika
Réthoré, Pierre-Elouan
Sørensen, Niels N.
Egusquiza Estévez, Eduard
author2_role author
author
author
author
dc.subject.none.fl_str_mv vortex generator
wake
CFD
computational fluid dynamics
aerodynamics
wind turbine
topic vortex generator
wake
CFD
computational fluid dynamics
aerodynamics
wind turbine
description Vortex generators (VGs) are used increasingly by the wind turbine industry as flow control devices to improve rotor blade performance. According to experimental observations, the vortices generated by VGs have previously been observed to be self-similar for both the axial (uz) and azimuthal (u ) velocity components. Furthermore, the measured vortices have been observed to obey the criteria for helical symmetry. These are powerful results, as it reduces the highly complex 3-D flow to merely four parameters and therefore significantly facilitates the modeling of this type of flow, which in a larger perspective can assist in parametric studies to increase the total power output of wind turbines. In this study, corresponding computer simulations using Reynolds-averaged Navier–Stokes equations have been carried out and compared with the experimental observations. The main objective is to investigate how well the simulations can reproduce these aspects of the physics of the flow, i.e., investigate if the same analytical model can be applied and therefore significantly facilitate the modeling of this type of flow, which in a larger perspective can assist in parametric studies to increase the total power output of wind turbines. This is especially interesting since these types of flows are notoriously difficult for the turbulence models to predict correctly. Using this model, parametric studies can be significantly reduced, and moreover, reliable simulations can substantially reduce the costs of the parametric studies themselves.
publishDate 2016
dc.date.none.fl_str_mv 2016
2024
2024
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/64988
url http://hdl.handle.net/10810/64988
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv https://onlinelibrary.wiley.com/doi/full/10.1002/we.1882
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
Copyright © 2015 John Wiley & Sons, Ltd.
eu_rights_str_mv openAccess
rights_invalid_str_mv Copyright © 2015 John Wiley & Sons, Ltd.
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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